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Shangqi Guo
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2020 – today
- 2024
- [j12]Yu Tang
, Shangqi Guo
Hierarchical reinforcement learning from imperfect demonstrations through reachable coverage-based subgoal filtering. Knowl. Based Syst. 294: 111736 (2024) - 2023
- [j11]Zheng Sun, Chenheng Jing, Shangqi Guo
PAC-Bayesian offline Meta-reinforcement learning. Appl. Intell. 53(22): 27128-27147 (2023) - [j10]Tianren Zhang
Adjacency Constraint for Efficient Hierarchical Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4152-4166 (2023) - [j9]Haichuan Gao
Partial Consistency for Stabilizing Undiscounted Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10359-10373 (2023) - [c5]Haichuan Gao, Tianren Zhang, Zhile Yang, Yuqing Guo, Jinsheng Ren, Shangqi Guo, Feng Chen:
Fast Counterfactual Inference for History-Based Reinforcement Learning. AAAI 2023: 7613-7623 - 2022
- [j8]Pengfei Sun, Zhile Yang, Tianren Zhang, Shangqi Guo, Feng Chen
Primitive-contrastive network: data-efficient self-supervised learning from robot demonstration videos. Appl. Intell. 52(4): 4258-4273 (2022) - [j7]Shangqi Guo
State-Temporal Compression in Reinforcement Learning With the Reward-Restricted Geodesic Metric. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5572-5589 (2022) - [j6]Jinsheng Ren
Orientation-Preserving Rewards' Balancing in Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6458-6472 (2022) - [c4]Zhile Yang, Shangqi Guo, Ying Fang, Jian K. Liu:
Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks. BMVC 2022: 358 - [i6]Zhile Yang, Shangqi Guo, Ying Fang, Jian K. Liu
Biologically Plausible Variational Policy Gradient with Spiking Recurrent Winner-Take-All Networks. CoRR abs/2210.13225 (2022) - 2021
- [c3]Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen:
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. IROS 2021: 6747-5754 - [i5]Chongkai Gao, Haichuan Gao, Shangqi Guo, Tianren Zhang, Feng Chen:
CRIL: Continual Robot Imitation Learning via Generative and Prediction Model. CoRR abs/2106.09422 (2021) - [i4]Tianren Zhang, Yizhou Jiang, Xin Su, Shangqi Guo, Feng Chen:
Subjective Learning for Open-Ended Data. CoRR abs/2108.12113 (2021) - [i3]Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen:
Adjacency constraint for efficient hierarchical reinforcement learning. CoRR abs/2111.00213 (2021) - 2020
- [j5]Pengfei Sun, Xin Su, Shangqi Guo, Feng Chen
Cycle representation-disentangling network: learning to completely disentangle spatial-temporal features in video. Appl. Intell. 50(12): 4261-4280 (2020) - [j4]Zhaofei Yu
Emergent Inference of Hidden Markov Models in Spiking Neural Networks Through Winner-Take-All. IEEE Trans. Cybern. 50(3): 1347-1354 (2020) - [j3]Xin Su
Generative Memory for Lifelong Learning. IEEE Trans. Neural Networks Learn. Syst. 31(6): 1884-1898 (2020) - [c2]Xin Su, Yizhou Jiang, Shangqi Guo, Feng Chen:
Task Understanding from Confusing Multi-task Data. ICML 2020: 9177-9186 - [c1]Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen:
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. NeurIPS 2020 - [i2]Tianren Zhang, Shangqi Guo, Tian Tan, Xiaolin Hu, Feng Chen:
Generating Adjacency-Constrained Subgoals in Hierarchical Reinforcement Learning. CoRR abs/2006.11485 (2020)
2010 – 2019
- 2019
- [j2]Qi Yan, Shangqi Guo, Dagui Chen, Zhile Yang, Feng Chen
Transferable Environment Model With Disentangled Dynamics. IEEE Access 7: 106848-106860 (2019) - [j1]Shangqi Guo
Hierarchical Bayesian Inference and Learning in Spiking Neural Networks. IEEE Trans. Cybern. 49(1): 133-145 (2019) - [i1]Xin Su, Shangqi Guo, Feng Chen:
Subjectivity Learning Theory towards Artificial General Intelligence. CoRR abs/1909.03798 (2019)
Coauthor Index
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last updated on 2024-06-25 21:00 CEST by the dblp team
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